Normalized claim
Quantified impact: 41% increase
The company achieved a 41% increase in highly qualified job applicants per search and a 45% increase in career site click-through rate.
Johnson & Johnson, a Fortune 100 healthcare and pharmaceutical company, faced challenges in improving candidate job matching and engagement on its career site to attract high-quality applicants. To address this, Johnson & Johnson partnered with Jibe, a career site solutions provider, to integrate Google Cloud's machine learning-powered Cloud Talent Solution. The integration improved job search relevancy and user experience by understanding job titles, descriptions, industry jargon, and skills to better match job seeker preferences with relevant listings. Results include a 41% increase in highly qualified applicants, a 45% increase in click-throughs, faster recruiting and hiring, and the ability to measure job applicants' feedback.
AI-generated summary. Generated from indexed evidence or computed site data. Underlying records pass applicable deterministic checks; verify important details with source links where available. How content is created.
Reported outcomes
Impact: +41%
Other quantified impact
Normalized claim
Quantified impact: 41% increase
The company achieved a 41% increase in highly qualified job applicants per search and a 45% increase in career site click-through rate.
Normalized claim
Quantified impact: 45% increase
The company achieved a 41% increase in highly qualified job applicants per search and a 45% increase in career site click-through rate.
No explicit deployment-stage evidence found.
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